DataSynth: Generating Synthetic Data using Declarative Constraints
Summary: DataSynth uses a declarative, cardinality-constraint abstraction to specify complex synthetic data characteristics. Efficient generation algorithms enable realistic DB instances for testing, masking, and benchmarking; demo on two real-world scenarios. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arvind Arasu (Microsoft)
- 2. Raghav Kaushik (Microsoft)
- 3. Jian Li (University of Maryland)
BibTeX Citation
@article{arasu_vldb11,
title = {{DataSynth: Generating Synthetic Data using Declarative Constraints}},
author = {Arasu, Arvind and Kaushik, Raghav and Li, Jian},
journal = {PVLDB},
series = {{VLDB} '11},
volume = {4},
number = {12},
pages = {1418--1421},
doi = {10.14778/3402755.3402785},
url = {https://doi.org/10.14778/3402755.3402785},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,985 | Projection-Compliant Database Generation | 2022 | VLDB | 5.1842045e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 105 | Quickly Generating Billion-Record Synthetic Databases | 1994 | SIGMOD | 0.00033877899 |
| 365 | STHoles: A Multidimensional Workload-Aware Histogram | 2001 | SIGMOD | 0.00020041735 |
| 734 | QAGen: Generating Query-Aware Test Databases | 2007 | SIGMOD | 0.00014525584 |
| 938 | Flexible Database Generators | 2005 | VLDB | 0.00013089351 |
| 2,369 | Data Generation using Declarative Constraints | 2011 | SIGMOD | 8.682429e-05 |
| 3,994 | Generating Databases for Query Workloads | 2010 | VLDB | 6.9686731e-05 |
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